It is late in the day December 12, 2012 and best I can tell, we are still here, and for some, by time you read this it will be a few days or weeks later which means that either the Mayan calendar had it wrong, or we misinterpret it. Some would say that December 12, 2012 is not the important date, that it is really December 21, 2012 that the world will end, ok, lets wait and see what happens in a few more days.

However taking a step back from the Mayan calendar it dawned on me that some predictions such today's Mayan calendar forecast is similar to others that happen around this time of the year. That is the annual information technology or IT related predictions made by pundits or anybody else with an opinion, most of which in theory their concepts are not even close. Granted many predictions make good press and media things to read or listen to for entertainment. In some cases, these predictions are variations of what we're predicted last year in 2011 and the year before in 2010 and they year before that and so forth.

I'm still working on my predictions for 2013 and forward-looking into 2014, however I keep getting interrupted fending off vendors and their PR surrogates calling or emailing asking me if they can make contributions, or write my list for me (how thoughtful of them ;) ). For now one of my predictions is that I hope to get my predictions for 2013 done before 2013, however if you need something to hold you over, check this out from last year, or this from a few months ago.

I will also say that for 2013, those who see or view cloud, virtualization, big data (and little data) in pragmatic terms will be very prosperous. On the other hand, those who have narrow or constrained views will be envious of the others. Likewise plenty of new additions to the buzzword bingo line up with software defined having strong representation.

Like the Mayan calendar predictions, with annual technology predictions, are we reading them wrong, or are they simply wrong and who if anybody cares, or are they just garbage in and garbage out, or big data garbage in, big data garbage out results?

CIO, CTO & Developer Resources

In the meantime, I need to check that my local and cloud backups are working, try a restore test, have plenty of cash on hand, gas tanks full, cerveza in the fridge, propane for the generator and other things ready if the Mayans had it right, just off by a few days ;) .

Greg Schulz is founder of the Server and StorageIO (StorageIO) Group, an IT industry analyst and consultancy firm. Greg has worked with various server operating systems along with storage and networking software tools, hardware and services. Greg has worked as a programmer, systems administrator, disaster recovery consultant, and storage and capacity planner for various IT organizations. He has worked for various vendors before joining an industry analyst firm and later forming StorageIO.

In addition to his analyst and consulting research duties, Schulz has published over a thousand articles, tips, reports and white papers and is a sought after popular speaker at events around the world. Greg is also author of the books Resilient Storage Network (Elsevier) and The Green and Virtual Data Center (CRC). His blog is at www.storageioblog.com and he can also be found on twitter @storageio.

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